Automated excavation in construction using robotics trajectory and envelop generation

Author:

MRAD FUAD,ASEM ABDUL‐MALAK M.,SADEK SALAH,KHUDR ZIAD

Abstract

Robotic industrial applications are very well established in the manufacturing industry, while they are relatively in their infancy phase in the construction sector. The need for automation in construction is clear especially in repetitive tasks. The excavation process, which is generally critical in most construction projects, is a prime example of such tasks. This paper addresses automation assistance in excavation. The work utilized the robotics approach towards the automation of a typical excavator model, whose structure closely resembled that of an industrial manipulator. A simulation package using Matlab was developed using several embedded design and analysis tools. Emulation was also carried out on the RHINO educational robot to confirm the simulation results. The constructed simulation package offered an integrated environment for trajectory design and analysis for an excavator while addressing the constraints related to the excavator structure, safety and stability, and mode of application.

Publisher

Emerald

Subject

General Business, Management and Accounting,Building and Construction,Architecture,Civil and Structural Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Expert Demonstration Collection of Long-Horizon Construction Tasks in Virtual Reality;Computing in Civil Engineering 2023;2024-01-25

2. Enhancing construction robot learning for collaborative and long-horizon tasks using generative adversarial imitation learning;Advanced Engineering Informatics;2023-10

3. Understanding the key takeaway of construction robots towards construction automation;Engineering, Construction and Architectural Management;2021-08-10

4. A Dynamics-Based Optimal Trajectory Generation for Controlling an Automated Excavator;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2010-04-22

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